Tera Yaar Hoon Main

The song Tera Yaar Hoon Main by Rochak Kohli, Arijit Singh has been played 242,500,125 times on Spotify since its release on February 14, 2018.

Other songs from Rochak Kohli, Arijit Singh

Dil Tod Ke Remix

B Praak, Rochak Kohli, DJ Yogii
9XM Smashup #33

Amit Trivedi, Badshah, Neha Kakkar, Arijit Singh, Vishal Dadlani, Diljit Dosanjh, Sasha, Nindy Kaur, Madhav Krishna, Jyoti Nooran, Jasleen Royal, Harshdeep Kaur, Anushka Manchanda, Amar Arshi, Manj Musik, Manjeet Singh, Sultana Nooran, Raftaar
Rehmat (From "Ishq Vishk Rebound")

Jubin Nautiyal, Rochak Kohli, Gurpreet Saini, Gautam Sharma
Weightless

Martin Garrix, Arijit Singh
Shanivaar Raati (Remix By Dj Chetas)

Arijit Singh, Shalmali Kholgade

Frequently asked questions

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- Inconsistent Stream Counts for a Day: Sometimes, a data point may represent the stream count for two days instead of one. This inconsistency arises because Spotify does not update its public stream count at a fixed time daily. If our data recording aligns with these fluctuations, it can lead to inaccuracies.
- Anomalous Data Points (including negative streams): On occasion, you might observe highly irregular data points, such as negative daily streams. These are typically the result of metadata discrepancies on Spotify's end, like different tracks sharing the same International Standard Recording Code (ISRC). In such cases, reaching out to us can be very helpful. We can often disregard these erroneous data points to present a more accurate graph.

In both situations, we're committed to continuously improving our data accuracy and are here to assist with any specific concerns you might have.
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: This occurs due to Spotify's policy of only displaying public stream counts for tracks that have surpassed 1,000 streams. Consequently, if you see a stream count marked as 0 in our system, it indicates that the total stream count for that track is currently below 1,000. As the track accumulates more streams and crosses this threshold, the accurate stream count will start being reflected in our data.